Atlantica spa, Rome, Italy.
Defense Veterans Center, Ministry of Defense, Rome, Italy; STAKE Lab, University of Molise, Pesche, IS, Italy.
Comput Methods Programs Biomed. 2021 Sep;209:106324. doi: 10.1016/j.cmpb.2021.106324. Epub 2021 Aug 4.
Equipments generally used for entertainment, such as Microsoft Kinect, have been widely used for postural control as well. Such systems-compared to professional motion tracking systems-allow to obtain non-invasive and low-cost tracking. This makes them particularly suitable for the implementation of home rehabilitation systems. Microsoft has recently released a new version of Kinect, namely Azure Kinect DK, that is meant for developers, not consumers, and it has been specifically designed to implement professional applications. The hardware of this new version of the Kinect has been substantially improved as compared with previous versions. However, the accuracy of the Azure Kinect DK has not been evaluated yet in the context of the assessment of postural control as done for its predecessors.
We present a study to compare the motion traces of the Azure Kinect DK with those of a Vicon 3D system, typically considered the gold standard for high-accuracy motion tracking. The study involved 26 subjects performing specific functional reach and functional balance exercises.
The results clearly indicates that the Azure Kinect DK provides a very accurate tracking of the main joints of the body for all the recording taken during the lateral reach movement. The Root Mean Square Error (RMSE) between the two tracking systems obtained is approximately 0.2 for the lateral and forward exercises while for the balance exercise it is around 0.47 considering the average of the results among all the joints. The angular Mean Absolute Error is approximately in the range 5-15 degrees for all the upper joints and independently on the exercise. The lower body joints show a higher angular error between the two systems. Not surprisingly, it was found that results are much better in correspondence of slow movements.
The results achieved that the Azure Kinect DK has an incredibly high potential to be used in applications of home rehabilitation, where the assessment of postural control is a fundamental and crucial activity.
通常用于娱乐的设备,如微软 Kinect,也被广泛用于姿势控制。与专业运动跟踪系统相比,这些系统可以实现非侵入性和低成本的跟踪,这使得它们特别适合实现家庭康复系统。微软最近发布了新版本的 Kinect,即 Azure Kinect DK,它是为开发者设计的,而不是为消费者设计的,它专门用于实现专业应用。与之前的版本相比,新版本的 Kinect 硬件有了很大的改进。然而,Azure Kinect DK 的准确性尚未在其前代产品的姿势控制评估背景下进行评估。
我们进行了一项研究,比较了 Azure Kinect DK 的运动轨迹与 Vicon 3D 系统的运动轨迹,Vicon 3D 系统通常被认为是高精度运动跟踪的黄金标准。研究涉及 26 名受试者进行特定的功能伸展和功能平衡练习。
结果清楚地表明,Azure Kinect DK 为所有侧向伸展运动过程中的记录提供了身体主要关节的非常精确的跟踪。两个跟踪系统之间获得的均方根误差(RMSE)对于侧向和向前运动约为 0.2,而对于平衡运动,考虑到所有关节的平均值,则约为 0.47。所有上关节的平均绝对角度误差约为 5-15 度,并且独立于运动。下半身关节在两个系统之间显示出更高的角度误差。毫不奇怪,发现结果在缓慢运动时要好得多。
研究结果表明,Azure Kinect DK 具有非常高的潜力可用于家庭康复应用,在这些应用中,姿势控制的评估是一项基本且至关重要的活动。